Open Access Open Access  Restricted Access Subscription or Fee Access

Efficient Energy based Clustering in Wireless Sensor Networks: A Survey

Pooja Jain, Dr. Karuna Markam, Prof. Rakesh Naik

Abstract


Wireless sensor network comprises of the huge number of sensing nodes for capturing conditions of environment, and after processing, it send it to the sink node. For the energy consumption, these nodes are sensitive and on working they get exhausted. Thus, to exceed the lifetime of the node certain methods are used and more emphasis is given to those methods. To enhance the scalability of the network and also the stability, various types of protocols have been proposed so far. An effective mode of minimizing this energy consumption is to use a method of clustering and limiting the transmitted messages between nodes and the sink node. Here in this study, a reading of these type of protocols has been introduced. It has immense potential for the future development and research. Its usage will prove to be revolutionary for our economy and life in the medical areas, environmental conditions and for monitoring military system.

Keywords: fuzzy logic, low energy adaptive clustering hierarchy, wireless sensor network

Full Text:

PDF

References


Nikolaos A. Pantazis, Dimitrios D. Vergados. A survey on power control issues in wireless sensor networks. Institute of Electrical and Electronics Engineers, Communications Surveys. 2007; 9 (4): 86–107p.

Al-Karak, Kamal A. Routing techniques in wireless sensor networks: A survey. Security and Networks. 2004; 11 (6): 6–28p.

Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E. Wireless sensor networks: A survey. Computer Networks. 2002; 38 (4): 399–422p.

Akkaya K, Younis M. A survey on routing protocols for wireless sensor networks, ad hoc network. Elsevier. 2005; 3 (3): 325–349p.

Guo S, Yang O. Energy-aware multicasting in wireless ad hoc networks: A survey and discussion. Computer Communications, Elsevier. 2007; 30 (9): 2129–2148p.

Yick J, Mukherjee B, Ghosal D. Wireless sensor network survey. Computer Networks. 2008; 52 (12): 2292–2330p.

Anastasi G, Conti M, Francesco M, Passarella A. Energy conservation in wireless sensor networks: A survey. Ad Hoc Networks. 2009; 7 (3): 537–568p.

Arce P, Guerri J, Pajares A, Lazaro O. Performance evaluation of video streaming over ad hoc networks using flat and hierarchical routing protocols. Mobile Networks and Applications. 2008; 13: 324–336p.

Padmalaya Nayak, D. Anurag. A fuzzy logic based clustering algorithm for WSN to extend the network lifetime. Institute of Electrical and Electronics Engineers, Sensors Journal. 2015; 16 (1):137-144p.

Jong-Myoung Kim, Seon-Ho Park, Young-Ju Han, TaiMyoung Chung. CHEF: Cluster Head Election mechanism using fuzzy logic in wireless sensor networks. International Conference on Advanced Computation and Telecommunication; 17-20 Feb. 2008; Gangwon-Do, South Korea. IEEE. 654–659p.

Tripti Sharma, Brijesh Kumar. F-MCHEL: Fuzzy based master cluster head election leach protocol in wireless sensor network. International Journal of Computer Science and Telecommunications. 2012; 3 (10): 8-13p.

Mostafa Mirzaie, Sayyed Majid Mazinani. Adaptive MCFL: An adaptive multi-clustering algorithm using fuzzy logic in wireless sensor. Elsevier. 2017




DOI: https://doi.org/10.37628/jbcc.v4i2.839

Refbacks

  • There are currently no refbacks.